Cleanup.
[jamendo] / branches / nota-show-app / src / facedetect.cpp
diff --git a/branches/nota-show-app/src/facedetect.cpp b/branches/nota-show-app/src/facedetect.cpp
deleted file mode 100644 (file)
index 6f81367..0000000
+++ /dev/null
@@ -1,192 +0,0 @@
-#define CV_NO_BACKWARD_COMPATIBILITY
-
-#include "opencv/cv.h"
-#include "opencv/highgui.h"
-
-#include <iostream>
-#include <cstdio>
-
-#include <unistd.h>
-#include <netinet/in.h> 
-
-extern "C" {
-#include "notaio.h"
-#include "pdu.h"
-}
-
-#ifdef _EiC
-#define WIN32
-#endif
-
-using namespace std;
-using namespace cv;
-
-bool detectAndDraw( Mat& img,
-                   CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
-                   double scale);
-
-String cascadeName = "haarcascades/haarcascade_frontalface_alt.xml";
-String nestedCascadeName = "haarcascades/haarcascade_mcs_nose.xml";
-
-void log(const char* text) {
-       cout << text;
-}
-
-CascadeClassifier cascade, nestedCascade;
-
-bool found = false;
-struct _FACE {
-       int x,y,r;
-} face;
-
-void detect(unsigned char* buf,int buf_len) {
-    double scale = 1;
-       Mat image;
-
-       image = imdecode(Mat(1, buf_len, CV_8U, buf), 1);
-
-       if( !image.empty() )
-    {
-       found = detectAndDraw( image, cascade, nestedCascade, scale );
-               waitKey(10);
-    }
-}
-
-const char* result = "NoTA face detection";
-
-int main( int argc, const char** argv )
-{
-       /* Service socket to use for connecting to the service node. */
-       HSSockID sockid;
-       HErrorCode err;
-
-       /* The first parameter specifies the service to connect to (SID).
-        * The other parameters are reserved for legacy purposes.
-        */
-       sockid = n_connect(DEFAULT_SID, NULL, NULL);
-
-       /* sockid will be the number of the socket we got (>0), if successful,
-        * or <0 if something went wrong. Let's check:
-        */
-       if (sockid < 0) {
-               return NULL;
-       }
-
-       ServiceCallbacks callbacks = {0};
-       callbacks.log = &log;
-       callbacks.put_image = &detect;
-
-       ServiceCallbacks* cb=&callbacks;
-       
-       LOG2("Connected socket %d to service '%d'.\n", sockid, DEFAULT_SID);
-
-    if( !cascade.load( cascadeName ) )
-    {
-        cerr << "ERROR: Could not load classifier cascade" << endl;
-        return -1;
-    }
-       nestedCascade.load( nestedCascadeName );
-       
-       cvNamedWindow( result, 1 );
-
-       while(true) {
-               int smsg_len=0;
-               ServiceMessage* smsg = pack_pdu(GET_IMAGE, NULL, 0, &smsg_len);
-
-               err = n_send(sockid, smsg, smsg_len, HSSendBlocking);
-               free(smsg);
-               if(err < 0){
-                       return NULL;
-               }
-
-               usleep(100000);
-
-               found = false;
-               int err = read_smsg(&sockid, HSReceiveNonBlocking, cb); 
-               if (err < 0)    //error reading service message
-               {
-                       usleep(100000);
-               }
-               if(found) {
-                       struct _FACE f = { htonl(face.x), htonl(face.y), htonl(face.r) };
-                       smsg = pack_pdu(FACE_FOUND,(uns8*)&f,sizeof(f),&smsg_len);
-                       n_send(sockid,smsg,smsg_len,HSSendBlocking);
-                       free(smsg);
-               }
-               
-       }
-
-    cvDestroyWindow(result);
-
-    return 0;
-}
-
-bool detectAndDraw( Mat& img,
-                   CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
-                   double scale)
-{
-       bool found = false;
-    int i = 0;
-    double t = 0;
-    vector<Rect> faces;
-    const static Scalar colors[] =  { CV_RGB(0,0,255),
-        CV_RGB(0,128,255),
-        CV_RGB(0,255,255),
-        CV_RGB(0,255,0),
-        CV_RGB(255,128,0),
-        CV_RGB(255,255,0),
-        CV_RGB(255,0,0),
-        CV_RGB(255,0,255)} ;
-    Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );
-
-    cvtColor( img, gray, CV_BGR2GRAY );
-    resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
-    equalizeHist( smallImg, smallImg );
-
-    t = (double)cvGetTickCount();
-    cascade.detectMultiScale( smallImg, faces,
-        1.1, 2, 0
-        |CV_HAAR_FIND_BIGGEST_OBJECT
-        //|CV_HAAR_DO_ROUGH_SEARCH
-        |CV_HAAR_SCALE_IMAGE
-        ,
-        Size(30, 30) );
-    t = (double)cvGetTickCount() - t;
-    printf( "detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.) );
-    for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
-    {
-               Mat smallImgROI;
-        vector<Rect> nestedObjects;
-        Point center;
-        Scalar color = colors[i%8];
-        int radius;
-        center.x = cvRound((r->x + r->width*0.5)*scale);
-        center.y = cvRound((r->y + r->height*0.5)*scale);
-        radius = cvRound((r->width + r->height)*0.25*scale);
-
-               found = true; face.x = center.x; face.y = center.y; face.r = radius;
-               
-        circle( img, center, radius, color, 3, 8, 0 );
-        if( nestedCascade.empty() )
-            continue;
-        smallImgROI = smallImg(*r);
-        nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
-            1.1, 2, 0
-            //|CV_HAAR_FIND_BIGGEST_OBJECT
-            //|CV_HAAR_DO_ROUGH_SEARCH
-            //|CV_HAAR_DO_CANNY_PRUNING
-            |CV_HAAR_SCALE_IMAGE
-            ,
-            Size(30, 30) );
-        for( vector<Rect>::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )
-        {
-            center.x = cvRound((r->x + nr->x + nr->width*0.5)*scale);
-            center.y = cvRound((r->y + nr->y + nr->height*0.5)*scale);
-            radius = cvRound((nr->width + nr->height)*0.25*scale);
-            circle( img, center, radius, color, 3, 8, 0 );
-        }
-    }  
-    cv::imshow( result, img );    
-       return found;
-}
-